汽车式起重设备智能故障诊断及维修  

Intelligent Fault Diagnosis and Maintenance of Automotive Lifting Equipment

作　　者：陈滨 CHEN Bin

机构地区：[1]中国兵器装备集团自动化研究所有限公司,四川绵阳610000

出　　处：《今日自动化》2023年第9期23-26,共4页Automation Today

摘　　要：汽车式起重设备在建筑、物流等行业起着至关重要的作用,因此对于关键部件的故障与维修进行研究显得极为重要。为解决传统维修普遍存在的管理效率低下、资源浪费大及数据利用率低等问题,文章基于物联网、大数据及人工智能技术,通过构建设备健康诊断及预测性维护系统,利用多模数据对设备关键部件进行故障诊断和预测的能力,结合汽车式起重装备液压系统、起重臂、变量马达及汽车底盘的常见故障现象与其产生的原因分析,对以上各部件的故障检测及维修方法进行综述。Automotive lifting equipment plays a crucial role in industries such as construction and logistics,so it is extremely important to study the failure and maintenance of key components.To address the common problems of low management efficiency,resource waste,and low data utilization in traditional maintenance,this article is based on the Internet of Things,big data,and artificial intelligence technologies.By constructing an equipment health diagnosis and predictive maintenance system,the ability to diagnose and predict key equipment components using multimodal data is utilized,combined with the hydraulic system,boom,and Analyze the common faults and their causes of variable displacement motors and automotive chassis,and summarize the fault detection and maintenance methods of the above components.

关 键 词：智能诊断 物联网 汽车式起重机 故障检测 维修 安全 

分 类 号：TH21[机械工程—机械制造及自动化]